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Knowledge & Memory (RAG) #TypeScript#混合部署#MIT

HydraMCP

An MCP server that enables users to query, compare, and synthesize responses from multiple local and cloud LLMs simultaneously using existing subscriptions. It provides tools for parallel model evaluation, consensus polling with an LLM-as-judge, and response synthesis across different model providers.

Knowledge & Memory (RAG) npm 0 platforms 0 features

Install

npx -y hydramcp

Paste the configuration above into your MCP client config (claude_desktop_config.json for Claude Desktop) and restart the client.

{
  "mcpServers": {
    "hydramcp": {
      "command": "npx",
      "args": [
        "-y",
        "hydramcp"
      ],
      "env": {
        "OLLAMA_URL": "<OLLAMA_URL>",
        "CLIPROXYAPI_KEY": "<CLIPROXYAPI_KEY>",
        "CLIPROXYAPI_URL": "<CLIPROXYAPI_URL>"
      }
    }
  }
}

Paste the configuration above into your MCP client config (claude_desktop_config.json for Claude Desktop) and restart the client.

Sources: public MCP Server directories. This is an independent third-party directory with no affiliation to or endorsement from the maintainers of the listed servers.

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